Literature DB >> 24776224

Dynamics of Driver Distraction: The process of engaging and disengaging.

John D Lee1.   

Abstract

Driver distraction research has a long history, spanning nearly 50 years, but intensifying over the last decade. The dominant paradigm guiding this research defines distraction in terms of excessive workload and limited attentional resources. This approach largely ignores how drivers come to engage in these tasks and under what conditions they engage and disengage from driving-the dynamics of distraction. The dynamics of distraction identifies breakdowns of interruption management as an important contributor to distraction, leading to describe distraction in terms of failures of task timing, switching, and prioritization. The dynamics of distraction also identifies disengagement in driving (e.g., mind wandering) as a substantial challenge that secondary tasks might exacerbate or mitigate. Increasing vehicle automation accentuates the need to consider these dynamics of distraction. Automation offers drivers more opportunity to engage in distractions and disengage from driving, and can surprise drivers by unexpectedly requiring drivers to quickly re-engage in driving-placing greater importance of interruption management expertise. This review describes distraction in terms of breakdowns in interruption management and problems of engagement, and summarizes how contingency, conditioning, and consequence traps lead to problems of engaging and disengaging in driving and distractions.

Year:  2014        PMID: 24776224      PMCID: PMC4001670     

Source DB:  PubMed          Journal:  Ann Adv Automot Med        ISSN: 1943-2461


  32 in total

1.  The vigilance decrement reflects limitations in effortful attention, not mindlessness.

Authors:  Rebecca A Grier; Joel S Warm; William N Dember; Gerald Matthews; Traci L Galinsky; Raja Parasuraman
Journal:  Hum Factors       Date:  2003       Impact factor: 2.888

2.  Malleable attentional resources theory: a new explanation for the effects of mental underload on performance.

Authors:  Mark S Young; Neville A Stanton
Journal:  Hum Factors       Date:  2002       Impact factor: 2.888

3.  Auditory alerts for in-vehicle information systems: the effects of temporal conflict and sound parameters on driver attitudes and performance.

Authors:  Emily E Wiese; John D Lee
Journal:  Ergonomics       Date:  2004-07-15       Impact factor: 2.778

4.  Recovering from interruptions: implications for driver distraction research.

Authors:  Christopher A Monk; Deborah A Boehm-Davis; J Gregory Trafton
Journal:  Hum Factors       Date:  2004       Impact factor: 2.888

Review 5.  Can novice drivers be trained to scan for information that will reduce their likelihood of a crash?

Authors:  D L Fisher; A P Pollatsek; A Pradhan
Journal:  Inj Prev       Date:  2006-06       Impact factor: 2.399

6.  Wandering minds: the default network and stimulus-independent thought.

Authors:  Malia F Mason; Michael I Norton; John D Van Horn; Daniel M Wegner; Scott T Grafton; C Neil Macrae
Journal:  Science       Date:  2007-01-19       Impact factor: 47.728

7.  How dangerous is looking away from the road? Algorithms predict crash risk from glance patterns in naturalistic driving.

Authors:  Yulan Liang; John D Lee; Lora Yekhshatyan
Journal:  Hum Factors       Date:  2012-12       Impact factor: 2.888

Review 8.  A systematic review of the psychological literature on interruption and its patient safety implications.

Authors:  Simon Y W Li; Farah Magrabi; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2011-09-23       Impact factor: 4.497

Review 9.  Cell phones and driving: review of research.

Authors:  Anne T McCartt; Laurie A Hellinga; Keli A Bratiman
Journal:  Traffic Inj Prev       Date:  2006-06       Impact factor: 1.491

10.  Preface to the special section on human factors and automation in vehicles: designing highly automated vehicles with the driver in mind.

Authors:  Natasha Merat; John D Lee
Journal:  Hum Factors       Date:  2012-10       Impact factor: 2.888

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  8 in total

Review 1.  Driver Distraction Using Visual-Based Sensors and Algorithms.

Authors:  Alberto Fernández; Rubén Usamentiaga; Juan Luis Carús; Rubén Casado
Journal:  Sensors (Basel)       Date:  2016-10-28       Impact factor: 3.576

2.  The distracted mind on the wheel: Overall propensity to mind wandering is associated with road crash responsibility.

Authors:  Cédric Gil-Jardiné; Mélanie Née; Emmanuel Lagarde; Jonathan Schooler; Benjamin Contrand; Ludivine Orriols; Cédric Galera
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

Review 3.  A Neuroergonomics Approach to Mental Workload, Engagement and Human Performance.

Authors:  Frédéric Dehais; Alex Lafont; Raphaëlle Roy; Stephen Fairclough
Journal:  Front Neurosci       Date:  2020-04-07       Impact factor: 4.677

Review 4.  Gaze and Eye Tracking: Techniques and Applications in ADAS.

Authors:  Muhammad Qasim Khan; Sukhan Lee
Journal:  Sensors (Basel)       Date:  2019-12-14       Impact factor: 3.576

5.  Drivers' Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study.

Authors:  Yanli Ma; Shouming Qi; Yaping Zhang; Guan Lian; Weixin Lu; Ching-Yao Chan
Journal:  Int J Environ Res Public Health       Date:  2020-07-25       Impact factor: 3.390

6.  Drivers' Attention Strategies before Eyes-off-Road in Different Traffic Scenarios: Adaptation and Anticipation.

Authors:  Zhuofan Liu; Wei Yuan; Yong Ma
Journal:  Int J Environ Res Public Health       Date:  2021-04-02       Impact factor: 3.390

7.  A BCI Based Alerting System for Attention Recovery of UAV Operators.

Authors:  Jonghyuk Park; Jonghun Park; Dongmin Shin; Yerim Choi
Journal:  Sensors (Basel)       Date:  2021-04-02       Impact factor: 3.576

8.  Assessment of the Influence of Technology-Based Distracted Driving on Drivers' Infractions and Their Subsequent Impact on Traffic Accidents Severity.

Authors:  Susana García-Herrero; Juan Diego Febres; Wafa Boulagouas; José Manuel Gutiérrez; Miguel Ángel Mariscal Saldaña
Journal:  Int J Environ Res Public Health       Date:  2021-07-04       Impact factor: 3.390

  8 in total

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